There are "associated" random variables, which means that some of the
variability of one can be accounted for by the other.
Also, correlations can be broken down, as in regression diagnostics and
causal modeling.
Thanks,
Harvey
[EMAIL PROTECTED] http://www.cudenver.edu/~hgreenbe/
On Wed, 24 May 2000, Prakash P. Shenoy wrote:
> Date: Wed, 24 May 2000 11:25:20 -0700
> From: Prakash P. Shenoy <[EMAIL PROTECTED]>
> To: [EMAIL PROTECTED]
> Subject: [UAI] Measures of dependence between random variables
>
> Dear UAI colleagues,
>
> Could someone please point me to references on different measures of
> dependence between random variables? I am familiar with
> covariance/correlation coefficient that measures linear dependence between
> variables. What else is out there that is being used by the Bayes net
> learning community? Thanks in advance for the pointers.
>
> Prakash Shenoy
> <[EMAIL PROTECTED]>
>
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